LEADER 08366nam 22007335 450 001 996465279303316 005 20200704092517.0 010 $a3-540-38460-X 024 7 $a10.1007/BFb0035870 035 $a(CKB)1000000000233716 035 $a(SSID)ssj0000321427 035 $a(PQKBManifestationID)11230798 035 $a(PQKBTitleCode)TC0000321427 035 $a(PQKBWorkID)10262658 035 $a(PQKB)11672229 035 $a(DE-He213)978-3-540-38460-1 035 $a(PPN)155177621 035 $a(EXLCZ)991000000000233716 100 $a20121227d1991 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aArtificial Neural Networks$b[electronic resource] $eInternational Workshop IWANN '91, Granada, Spain, September 17-19, 1991. Proceedings /$fedited by Alberto Prieto 205 $a1st ed. 1991. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1991. 215 $a1 online resource (XIV, 486 p.) 225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v540 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-54537-9 327 $aCooperative computing and neural networks -- Neural Net's theory ? The specifications of a computational model of memory and information processing in decision-making -- Chaotic neural networks and associative memory -- Nonequilibrium model of neural networks -- A modified algorithm for self-organizing maps based on the Schrödinger equation -- Neural network modelling by means of networks of finite automata -- Adaptive optimization of neural algorithms -- Neural networks with hysteresis type of nonlinearity exhibit global optimization property -- Stability measurement criterion for neural networks of competitive learning -- On the power of networks of majority functions -- Using quadratic perceptrons to reduce interconnection density in multilayer neural networks -- Always trying to write an equation for the brain -- Transformation of control signals for saccadic eye movements -- On the semantics of morphogenesys in photoreceptors -- Implementing a "psychophysical" pattern classifier in a decrementing network -- Contributions of Neural Net's Theory to the understanding of Psychopathological productions in Schizophrenia -- Backpropagation growing networks: Towards local minima elimination -- Methods for encoding in multilayer feed-forward neural networks -- Learning algorithm for feed-forward neural networks with discrete synapses -- Synthesis of adaptive memories with neural networks -- Minimally disturbing learning -- Fuzzy-neunet: A non standard neural network -- Decrementing hamming and Bayesian neural networks: Analog implementations and relative performance -- Dynamic thresholds and attractor neural networks -- Use of genetic algorithms in neural networks definition -- Simulated evolution of modular networks -- Computational experiments with Boltzmann Machines -- An adaptive resonance theory architecture for the automatic recognition of on-line handwritten symbols of a mathematical editor -- An experimental design advisor and neural network analysis package -- Extending an object oriented concurrent logic language for neural network simulations -- Application and implementation of neural networks in microelectronics -- Cmos implementation of a cellular neural network with dynamically alterable cloning templates -- Systolic implementation of hopfield networks of arbitrary size -- Vlsi fully connected neural networks for the implementation of other topologies -- Backpropagation multilayer perceptron: A modular implementation -- Toroidal neural network processor: Multiple learning algorithm support -- Cmos implementation of synapse matrices with programmable analog weights -- Analog VLSI synapse matrix with enhanced stochastic computations -- Cmos continuous BAM with on chip learning -- An integrated circuit for artificial neural networks -- An application of neural networks to natural scene segmentation -- An approach to isolated word recognition using multilayer perceptrons -- The use of multilayer perceptrons in isolated word recognition -- Continuous speech recognition with the connectionist viterbi training procedure: A summary of recent work -- Recurrent neural networks for speech recognition -- A speech recognition system that integrates neural nets and HMM -- Comparison of neural networks and conventional techniques for automatic recognition of a multilingual speech database -- Optimization problems on concurrent testing solved by neural networks -- Application of high-order hopfield neural networks to the solution of diophantine equations -- Self-organizing feature maps and their application to digital coding of information -- Neural networks as error correcting systems in digital communications -- Application of vector quantization algorithms to protein classification and secondary structure computation -- Application of the LVQ neural method to a stellar catalogue -- Neural network design for mobile robot control following a contour -- A supervisory technique to apply neural networks in control -- Autonomous controller tuning by using a neural network -- Neural networks for water demand time series forecasting -- Using artificial neural networks to aid decision making processes -- Data analysis: How to compare Kohonen neural networks to other techniques?. 330 $aArtificial neural networks are massively parallel interconnected networks ofsimple elements which are intended to interact with the objects of the real world in the same way as biological nervous systems do. Interest in these networks is due to the opinion that they are able to perform tasks like image and speech recognition that have only been implemented in limited ways by traditional computing methods. This book includes invited lectures and the full contributions to the International Workshop onArtificial Neural Networks held in Granada, Spain, September 17-19, 1991. The workshop was sponsored by the IEEE Computer Society, the Spanish Association for Computing and Automatics, and the University of Granada. The contributions were selected by an international program committee; the authors of the papers come from 12 countries. The book is organized in six sections, covering: - Neural network theories and neural models - Biological perspectives - Neural network architectures and algorithms - Software developments and tools - Hardware implementations - Applications. 410 0$aLecture Notes in Computer Science,$x0302-9743 ;$v540 606 $aComputer communication systems 606 $aArchitecture, Computer 606 $aArtificial intelligence 606 $aPattern recognition 606 $aOptical data processing 606 $aSpecial purpose computers 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aComputer System Implementation$3https://scigraph.springernature.com/ontologies/product-market-codes/I13057 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aSpecial Purpose and Application-Based Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I13030 615 0$aComputer communication systems. 615 0$aArchitecture, Computer. 615 0$aArtificial intelligence. 615 0$aPattern recognition. 615 0$aOptical data processing. 615 0$aSpecial purpose computers. 615 14$aComputer Communication Networks. 615 24$aComputer System Implementation. 615 24$aArtificial Intelligence. 615 24$aPattern Recognition. 615 24$aImage Processing and Computer Vision. 615 24$aSpecial Purpose and Application-Based Systems. 676 $a004.6 702 $aPrieto$b Alberto$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996465279303316 996 $aArtificial neural networks$91014967 997 $aUNISA